Keyphrases
- stochastic gradient descent
- neural network
- loss function
- matrix factorization
- least squares
- step size
- random forests
- support vector machine
- posterior probability
- multiple kernel learning
- weight vector
- genetic algorithm
- bayesian networks
- posterior distribution
- importance sampling
- convergence rate
- cost function
- bayesian inference
- training process
- online algorithms